Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_50d103fa9df1274442058e849ed6036d |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2021-0027 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2230-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2230-63 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2205-505 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2021-0083 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2021-0022 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M2230-04 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4812 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7246 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H40-63 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61M21-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-345 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-6898 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
filingDate |
2016-08-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f76108f01c7b78570a5c259333a1ef08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b46a7c5edd3a3df321d83921cb39f975 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_83fecc0419b67c7d10523395d5be3354 |
publicationDate |
2018-03-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-2018060507-A1 |
titleOfInvention |
Method and system for optimized wake-up strategy via sleeping stage prediction with recurrent neural networks |
abstract |
A method for optimized wake-up strategy via sleeping stage prediction with recurrent neural networks is provided. The method comprises receiving a set of raw sensory data of a user's sleeping status; translating the set of raw sensory data into a plurality of sleeping stages; saving the plurality of sleeping stages as a history of sleeping stages; determining a current sleeping stage; predicting a plurality of future sleeping stages of the user in an upcoming interval; calculating a wakeup score of the current sleeping stage and a wakeup score of each future sleeping stage; determining an optimized sleeping stage for wake up based on the wakeup score through comparing the wakeup score of the current sleeping stage and the wakeup scores of the future sleeping stages; and triggering an alarm impulse to wake up the user at the optimized sleeping stage for wake up. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2018206797-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113261982-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111568380-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10847010-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2020090486-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109243610-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11202882-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11432778-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023059947-A1 |
priorityDate |
2016-08-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |